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Committee Date Time Place Paper Title / Authors Abstract Paper #
DC 2025-02-18
13:15		 Tokyo Kikai-Shinko-Kaikan Bldg. (Tokyo) Reliable Memristor-Based Neural Networks with Fault-Injected Training
Md. Sihabul Islam, Ryota Eguchi, Michiko Inoue (NAIST) 		 [more]
COMP 2024-03-14
16:00		 Tokyo The University of Electro-Communications (Tokyo) Time Analysis of Space Efficient Uniform Partitioning in Population Protocols
Pascal Sahner (NAIST/RWTH Aachen), Ryota Eguchi (NAIST), Fukuhito Ooshita (FUT), Michiko Inoue (NAIST) COMP2023-34		 Population protocols are a theoretical model for modeling a set of units with low computational capabilities - so called... [more] COMP2023-34
pp.34-41
COMP 2023-10-24
16:20		 Aichi Nagoya Univ. Venture Business Lab. (Aichi) Algorithm of uniform deployment for mobile robots in perfect bipartite graphs
Masahiro Shibata (Kyutech), Naoki Kitamura (Osaka Univ.), Ryota Eguchi (NAIST), Yuichi Sudo (Hosei Univ.), Junya Nakamura (Toyohashi Tech.), Yonghwan Kim, Yoshiaki Katayama (Nagoya Tech.), Toshimitsu Masuzawa (Osaka Univ.), Sebastien Tixeuil (Sorbonne Univ.) COMP2023-14		 In this paper, we consider the uniform deployment problem of mobile robots in perfect bipartite graphs. Intuitively, whe... [more] COMP2023-14
pp.13-20
COMP, IPSJ-AL 2018-05-25
14:30		 Aichi Nagoya Institute of Technology (Aichi) Fast Aggregation in Probabilistic Population Protocols
Ryota Eguchi, Taisuke Izumi (Nagoya Inst. of Tech.) COMP2018-6		 In this paper, we propose a new aggregation algorithm in probabilistic population protocol model with a base station. Sp... [more] COMP2018-6
pp.79-84
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